Current forecast models from Brazil’s INMET and international ensembles like ECMWF indicate a highest temperature near 18–19 °C for São Paulo on May 19, driven by persistent cool advection behind a recent cold front and increased cloud cover that limits daytime heating. This aligns with the market’s leading 18 °C outcome at 31.5 % implied probability while the broad distribution across 16–20 °C reflects remaining uncertainty in exact frontal timing and subtropical moisture return. Historical May climatology shows average highs near 22 °C, so the current cooler pattern represents a notable deviation that traders are pricing in. Updated 48-hour model guidance and INMET’s next official bulletin are the key near-term data releases that could shift probabilities toward 17 °C or 20 °C if steering winds or insolation change.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiHighest temperature in Sao Paulo on May 19?
19°C 33%
18°C 32%
17°C 21%
16°C 20%
11°C or below
<1%
12°C
<1%
13°C
<1%
14°C
1%
15°C
11%
16°C
18%
17°C
21%
18°C
32%
19°C
25%
20°C
11%
21°C or higher
5%
19°C 33%
18°C 32%
17°C 21%
16°C 20%
11°C or below
<1%
12°C
<1%
13°C
<1%
14°C
1%
15°C
11%
16°C
18%
17°C
21%
18°C
32%
19°C
25%
20°C
11%
21°C or higher
5%
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day by the Forecast for the Sao Paulo-Guarulhos International Airport Station once information is finalized, available here: https://www.wunderground.com/history/daily/br/guarulhos/SBGR.
To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between °F and °C.
This market can not resolve to "Yes" until all data for this date has been finalized.
The resolution source for this market measures temperatures to whole degrees Celsius (eg, 9°C). Thus, this is the level of precision that will be used when resolving the market.
Any revisions to temperatures recorded after data is finalized for this market's timeframe will not be considered for this market's resolution.
Pasar Dibuka: May 17, 2026, 12:03 AM ET
Sumber Resolusi
https://www.wunderground.com/history/daily/br/guarulhos/SBGRThe resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day by the Forecast for the Sao Paulo-Guarulhos International Airport Station once information is finalized, available here: https://www.wunderground.com/history/daily/br/guarulhos/SBGR.
To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between °F and °C.
This market can not resolve to "Yes" until all data for this date has been finalized.
The resolution source for this market measures temperatures to whole degrees Celsius (eg, 9°C). Thus, this is the level of precision that will be used when resolving the market.
Any revisions to temperatures recorded after data is finalized for this market's timeframe will not be considered for this market's resolution.
Sumber Resolusi
https://www.wunderground.com/history/daily/br/guarulhos/SBGRCurrent forecast models from Brazil’s INMET and international ensembles like ECMWF indicate a highest temperature near 18–19 °C for São Paulo on May 19, driven by persistent cool advection behind a recent cold front and increased cloud cover that limits daytime heating. This aligns with the market’s leading 18 °C outcome at 31.5 % implied probability while the broad distribution across 16–20 °C reflects remaining uncertainty in exact frontal timing and subtropical moisture return. Historical May climatology shows average highs near 22 °C, so the current cooler pattern represents a notable deviation that traders are pricing in. Updated 48-hour model guidance and INMET’s next official bulletin are the key near-term data releases that could shift probabilities toward 17 °C or 20 °C if steering winds or insolation change.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui
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